Deep learning for visible-infrared cross-modality person re-identification: A comprehensive review
Authors:
- Nianchang HuangNHNianchang Huang
- Jianan LiuJLJianan Liu
- Yunqi MiaoYMYunqi Miao
- Qiang ZhangQZQiang Zhang
- Jungong HanJHJungong Han
- 29 October 2022
- journal article
- research article
- Published by Elsevier in Information Fusion
- Vol. 91, 396-411
Abstract
No abstract availableKeywords
Funding Information
- Fundamental Research Funds for the Central Universities
- National Natural Science Foundation of China (61773301)
- Xidian University
This publication has 102 references indexed in Scilit:
- Learning Modality-Specific Representations for Visible-Infrared Person Re-IdentificationIEEE Transactions on Image Processing, 2019
- OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity FieldsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
- Bi-Directional Center-Constrained Top-Ranking for Visible Thermal Person Re-IdentificationIEEE Transactions on Information Forensics and Security, 2019
- Person Re-Identification Between Visible and Thermal Camera Images Based on Deep Residual CNN Using Single InputIEEE Access, 2019
- A Survey of Open-World Person Re-IdentificationIEEE Transactions on Circuits and Systems for Video Technology, 2019
- Cross-Modality Person Re-Identification with Generative Adversarial Training2018
- Visible Thermal Person Re-Identification via Dual-Constrained Top-Ranking2018
- RGB-Infrared Cross-Modality Person Re-identification2017
- Scalable Person Re-identification: A Benchmark2015
- Shape and Appearance Context Modeling2007